Search Results for author: Patrick Wieschollek

Found 10 papers, 5 papers with code

GGNN: Graph-based GPU Nearest Neighbor Search

1 code implementation2 Dec 2019 Fabian Groh, Lukas Ruppert, Patrick Wieschollek, Hendrik P. A. Lensch

Approximate nearest neighbor (ANN) search in high dimensions is an integral part of several computer vision systems and gains importance in deep learning with explicit memory representations.

Flex-Convolution (Million-Scale Point-Cloud Learning Beyond Grid-Worlds)

1 code implementation20 Mar 2018 Fabian Groh, Patrick Wieschollek, Hendrik P. A. Lensch

Traditional convolution layers are specifically designed to exploit the natural data representation of images -- a fixed and regular grid.

Classify 3D Point Clouds Semantic Segmentation

Separating Reflection and Transmission Images in the Wild

no code implementations ECCV 2018 Patrick Wieschollek, Orazio Gallo, Jinwei Gu, Jan Kautz

The reflections caused by common semi-reflectors, such as glass windows, can impact the performance of computer vision algorithms.

Synthetic Data Generation

Learning Blind Motion Deblurring

1 code implementation ICCV 2017 Patrick Wieschollek, Michael Hirsch, Bernhard Schölkopf, Hendrik P. A. Lensch

As handheld video cameras are now commonplace and available in every smartphone, images and videos can be recorded almost everywhere at anytime.


Efficient Large-scale Approximate Nearest Neighbor Search on the GPU

1 code implementation CVPR 2016 Patrick Wieschollek, Oliver Wang, Alexander Sorkine-Hornung, Hendrik P. A. Lensch

We present a new approach for efficient approximate nearest neighbor (ANN) search in high dimensional spaces, extending the idea of Product Quantization.

Quantization Re-Ranking

Backpropagation Training for Fisher Vectors within Neural Networks

no code implementations8 Feb 2017 Patrick Wieschollek, Fabian Groh, Hendrik P. A. Lensch

Fisher-Vectors (FV) encode higher-order statistics of a set of multiple local descriptors like SIFT features.

Will People Like Your Image? Learning the Aesthetic Space

2 code implementations16 Nov 2016 Katharina Schwarz, Patrick Wieschollek, Hendrik P. A. Lensch

Rating how aesthetically pleasing an image appears is a highly complex matter and depends on a large number of different visual factors.

Learning Robust Video Synchronization without Annotations

no code implementations19 Oct 2016 Patrick Wieschollek, Ido Freeman, Hendrik P. A. Lensch

Aligning video sequences is a fundamental yet still unsolved component for a broad range of applications in computer graphics and vision.

Video Alignment Video Synchronization

Transfer Learning for Material Classification using Convolutional Networks

no code implementations20 Sep 2016 Patrick Wieschollek, Hendrik P. A. Lensch

Specifically, transfer learning from the task of object recognition is exploited to more effectively train good features for material classification.

Classification General Classification +4

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